\item \subquestionpoints{3}
If we have a binary classification model that is perfectly calibrated---that
is, the property we just proved holds for any $(a, b) \subset [0, 1]$---does
this necessarily imply that the model achieves perfect accuracy? Is the
converse necessarily true? Justify your answers.

\ifnum\solutions=1 {
  \input{02-calibration/02-accuracy-sol}
} \fi
